Data Engineer, Analytics

Meta; Indianapolis (IN); Remote; USD 234,000 - 280,000; Full time

Job summary

A leading technology company is seeking a Data Engineer to design and implement data warehousing activities, optimize data pipelines, and collaborate with cross-functional teams. Candidates should have a Bachelor's degree in a related field and five years of experience in data engineering or analytics. This role offers a competitive salary and the flexibility to telecommute from anywhere in the U.S.

Benefits

Bonus

Equity

Benefits

Qualifications

• 5 years of progressive experience in data engineering or a related field.
• Experience with data warehousing activities.
• Familiarity with ETL patterns and frameworks.

Responsibilities

• Design and implement data warehouse activities.
• Collaborate with teams to understand data needs.
• Optimize pipelines and systems for data artifacts.

Skills

Experience in big data ecosystem

Custom ETL design

Schema design

Writing SQL statements

Data analysis

MapReduce or MPP system

Python

Education

Bachelor's degree in Computer Science or related field

Job description

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Required Skills:

Data Engineer, Analytics Responsibilities:

1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.

2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

4. Define and manage SLA for all data sets in allocated areas of ownership.

5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

9. Influence product and cross-functional teams to identify data opportunities to drive impact.

10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

12. Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications:

Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Electronic Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Requires five years of experience in the following:

1. Features, design, and use-case scenarios across a big data ecosystem
2. Custom ETL design, implementation, and maintenance
3. Schema design and dimensional data modeling
4. Writing SQL statements
5. Analyzing data to identify deliverables, gaps, and inconsistencies
6. Managing and communicating data warehouse plans to internal clients
7. MapReduce or MPP system
8. Python

Public Compensation:

$234,781/year to $279,400/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].